Hierarchical models, marginal polytopes, and linear codes

Thomas Kahle; Walter Wenzel; Nihat Ay

Kybernetika (2009)

  • Volume: 45, Issue: 2, page 189-207
  • ISSN: 0023-5954

Abstract

top
In this paper, we explore a connection between binary hierarchical models, their marginal polytopes, and codeword polytopes, the convex hulls of linear codes. The class of linear codes that are realizable by hierarchical models is determined. We classify all full dimensional polytopes with the property that their vertices form a linear code and give an algorithm that determines them.

How to cite

top

Kahle, Thomas, Wenzel, Walter, and Ay, Nihat. "Hierarchical models, marginal polytopes, and linear codes." Kybernetika 45.2 (2009): 189-207. <http://eudml.org/doc/37728>.

@article{Kahle2009,
abstract = {In this paper, we explore a connection between binary hierarchical models, their marginal polytopes, and codeword polytopes, the convex hulls of linear codes. The class of linear codes that are realizable by hierarchical models is determined. We classify all full dimensional polytopes with the property that their vertices form a linear code and give an algorithm that determines them.},
author = {Kahle, Thomas, Wenzel, Walter, Ay, Nihat},
journal = {Kybernetika},
keywords = {0/1 polytopes; linear codes; hierarchical models; exponential families; polytopes; linear codes; hierarchical models; exponential families},
language = {eng},
number = {2},
pages = {189-207},
publisher = {Institute of Information Theory and Automation AS CR},
title = {Hierarchical models, marginal polytopes, and linear codes},
url = {http://eudml.org/doc/37728},
volume = {45},
year = {2009},
}

TY - JOUR
AU - Kahle, Thomas
AU - Wenzel, Walter
AU - Ay, Nihat
TI - Hierarchical models, marginal polytopes, and linear codes
JO - Kybernetika
PY - 2009
PB - Institute of Information Theory and Automation AS CR
VL - 45
IS - 2
SP - 189
EP - 207
AB - In this paper, we explore a connection between binary hierarchical models, their marginal polytopes, and codeword polytopes, the convex hulls of linear codes. The class of linear codes that are realizable by hierarchical models is determined. We classify all full dimensional polytopes with the property that their vertices form a linear code and give an algorithm that determines them.
LA - eng
KW - 0/1 polytopes; linear codes; hierarchical models; exponential families; polytopes; linear codes; hierarchical models; exponential families
UR - http://eudml.org/doc/37728
ER -

References

top
  1. Maximizing multi-information, Kybernetika 42 (2006), 517–538. MR2283503
  2. Information geometry on hierarchy of probability distributions, IEEE Trans. Inform. Theory 47 (2001), 1701–1711. Zbl0997.94009MR1842511
  3. Synthesis of boolean nets and time behaviour of a general mathematical neuron, Biol. Cybernet. 18 (1975), 111–117. MR0530379
  4. Neuronic equations revisited and completely solved, In: Brain Theory (G. Palm and A. Aertsen, eds.), Springer, Berlin 1986. MR0847249
  5. I -divergence geometry of probability distributions and minimization problems, Ann. Probab. 3 (1975), 146–158. MR0365798
  6. Geometry of Cuts and Metrics, Algorithms and Combinatorics. Springer, Berlin 1997. MR1460488
  7. Additive and multiplicative models and interactions, Ann. Statist. 11 (1983), 3, 724–738. MR0707924
  8. Using linear programming to decode linear codes, IEEE Trans. Inform. Theory 51 (2005), 3, 954–972. MR2237962
  9. Gibbs Measures and Phase Transitions (de Gruyter Studies in Mathematics 9), Walter de Gruyter, Berlin 1988. MR0956646
  10. polymake: a framework for analyzing convex polytopes, Polytopes – Combinatorics and Computation, pp. 43–47. Birkhäuser, Basel 2000. MR1785292
  11. Gröbner bases and polyhedral geometry of reducible and cyclic models, J. Combin. Theory Ser. A 100 (2002), 2, 277–301. MR1940337
  12. Support sets of distributions with given interaction structure, In: Proc. WUPES 2006, 2006. 
  13. Neighborliness of marginal polytopes, 2008. submitted, arXiv:0809.0786. 
  14. Information Theory and Statistics, Dover, New York 1968. Zbl0897.62003MR1461541
  15. Graphical Models, (Oxford Statistical Science Series.) Oxford University Press, 1996. Zbl1055.62126MR1419991
  16. Introduction to Coding Theory, GTM. Third edition. Springer, Berlin 1999. Zbl0936.94014MR1664228
  17. Regular simplices inscribed into the cube and exhibiting a group structure, J. Combin. Math. Combin. Comput. 59 (2006), 213–220. Zbl1127.52012MR2277349
  18. Image Analysis, Random Fields and Markov Chain Monte Carlo Methods, Second edition. Springer, Berlin 2003. Zbl1008.68147MR1950762
  19. Variational inference in graphical models: The view from the marginal polytope, In: Allerton Conference on Communication, Control, and Computing, 2003. 
  20. Lectures on Polytopes, GTM 142, Springer, Berlin 1994. Zbl0823.52002MR1311028
  21. Lectures on 0/1 polytopes, In: Polytopes – Combinatorics and Computation (G. Kalai and G. M. Ziegler, eds.), pp. 1–41. Birkhäuser, Basel 2000. Zbl0966.52012MR1785291

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.